• 2–3 years of professional experience in software development, ideally in Python (or strong experience in C++, C#, or Java with solid Python proficiency) • Understanding of the application/software development lifecycle and familiarity with Agile practices • Solid understanding of software design patterns and testing principles/methodologies • Good grasp of algorithms and data structures, and awareness of code optimization techniques • M.Sc./B.Sc. in Computer Science, Mathematics, Physics, or a related quantitative discipline (e.g., Quantitative Finance, Economics, Engineering) • Fluent English, written and spoken; comfortable working in an international team • Opportunity to work in a major global financial institution • Clear career path in an international environment • Professional training and development • Autonomy and ownership of your work • Supportive team of experienced professionals • Exposure to a wide range of business lines and markets ,[Design, develop, and maintain components of a quantitative library in Python, transforming models and code from quantitative teams into production-ready services, Contribute to software development across prototyping initiatives, building both proof-of-concept solutions and production-quality platforms, Support model release lifecycle activities, including testing and technical documentation, Collaborate closely with quantitative analysts, engineers, IT, and other stakeholders to translate analytical requirements into technical implementations, Work within an Agile development environment, Move flexibly between rapid prototyping to validate new analytical concepts and structured development of robust, scalable solutions] Requirements: Python, SQL
Senior Data Engineer (Databricks) – Financial Services Miejsce pracy: Warszawa Technologies we use Expected - Databricks - Apache Spark - PyTorch - Python - SQL Optional - Azure DevOps - Unity 3D - Azure SQL About the project We are looking for an experienced Senior Data Engineer to join a long-term project for a client ...
About the project, Unleash data-driven innovation — build high-performance platforms for the financial market!, , 100% remote work., , As a Senior PostgreSQL / Data Engineer, you will be working for our client, a leader in the financial sector, dedicated to developing a cutting-edge enterprise data platform. You will help ...
... Azure DevOps, Unity 3D, Azure SQL About the project, We are looking for an experienced Senior Data Engineer to join a long-term project for a client in the financial services industry. The ideal candidate has strong hands-on experience with Databricks, modern data engineering technologies, and building scalable data solutions ...
GenAI Engineer in Banking/Financial industry Miejsce pracy: Poznań Technologies we use Expected - Python - SQL Optional - AWS - Microsoft Azure - Google Cloud Platform - Terraform - Kubernetes - GitHub Actions About the project Within the Financial Services domain, you will help address business challenges by applying AI ...
Senior PostgreSQL Data Engineer – Financial Sector Miejsce pracy: Warszawa About the project Unleash data-driven innovation — build high-performance platforms for the financial market! 100% remote work. As a Senior PostgreSQL / Data Engineer, you will be working for our client, a leader in the financial sector, dedicated ...
... enhancement., Identifying reusable Gen AI and Agentic AI components and patterns that can be leveraged across ongoing and future projects. Practical banking/financial industry experience with Generative AI and/or Agentic AI, including LLM based workflows, prompt engineering and orchestration of multi-step AI or agent workflows., ...
... workflows, Utilize AI-powered development tools to improve code quality, testing, documentation, and productivity At least 5 years of experience in a Data Engineer, Big Data Engineer, or similar role, Strong hands-on experience with Python and PySpark, Proven experience with Databricks, Delta Tables, and modern data architectures, ...
... workflows, Utilize AI-powered development tools to improve code quality, testing, documentation, and productivity At least 5 years of experience in a Data Engineer, Big Data Engineer, or similar role, Strong hands-on experience with Python and PySpark, Proven experience with Databricks, Delta Tables, and modern data architectures, ...
... workflows, Utilize AI-powered development tools to improve code quality, testing, documentation, and productivity At least 5 years of experience in a Data Engineer, Big Data Engineer, or similar role, Strong hands-on experience with Python and PySpark, Proven experience with Databricks, Delta Tables, and modern data architectures, ...
... workflows, Utilize AI-powered development tools to improve code quality, testing, documentation, and productivity At least 5 years of experience in a Data Engineer, Big Data Engineer, or similar role, Strong hands-on experience with Python and PySpark, Proven experience with Databricks, Delta Tables, and modern data architectures, ...
... workflows, Utilize AI-powered development tools to improve code quality, testing, documentation, and productivity At least 5 years of experience in a Data Engineer, Big Data Engineer, or similar role, Strong hands-on experience with Python and PySpark, Proven experience with Databricks, Delta Tables, and modern data architectures, ...